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Mental image reconstruction from human brain activity: Neural decoding of mental imagery via deep neural network-based Bayesian estimation

Overview of attention for article published in Neural Networks, November 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 1,858)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
31 news outlets
blogs
2 blogs
twitter
143 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
31 Mendeley
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Title
Mental image reconstruction from human brain activity: Neural decoding of mental imagery via deep neural network-based Bayesian estimation
Published in
Neural Networks, November 2023
DOI 10.1016/j.neunet.2023.11.024
Pubmed ID
Authors

Naoko Koide-Majima, Shinji Nishimoto, Kei Majima

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 143 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 9 29%
Researcher 3 10%
Professor 2 6%
Student > Ph. D. Student 1 3%
Lecturer 1 3%
Other 0 0%
Unknown 15 48%
Readers by discipline Count As %
Unspecified 9 29%
Engineering 2 6%
Neuroscience 2 6%
Computer Science 1 3%
Psychology 1 3%
Other 0 0%
Unknown 16 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 342. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 September 2024.
All research outputs
#102,746
of 26,187,546 outputs
Outputs from Neural Networks
#2
of 1,858 outputs
Outputs of similar age
#1,799
of 376,851 outputs
Outputs of similar age from Neural Networks
#1
of 23 outputs
Altmetric has tracked 26,187,546 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,858 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 376,851 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.